Comparing behavioral economic and internalizing symptom predictors of drinking trajectories over 3 years during emerging adulthood.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
= 1.58) completed questionnaires every 4 months for 3 years about alcohol consumption and problems, internalizing symptoms, alcohol and substance-free rewards, and demographics. HDD and alcohol-related problems were characterized with latent growth curve models. Baseline predictors were regressed onto alcohol growth curves. Both HDD and alcohol-related problems demonstrated quadratic reductions over time. Adjusting for demographics, demand intensity (consumption at zero price) and demand elasticity (sensitivity to changes in cost) were significantly associated with the HDD slope. Demand elasticity, internalizing symptoms, and environmental reward were significantly associated with the alcohol problems slope; lower elasticity and environmental reward scores were associated with accelerated early declines followed by deceleration of change in alcohol problems near the study's end. Results suggest that elevated alcohol reward value, limited access to substance-free rewards, and internalizing symptoms confer persistent drinking risk, and that demand elasticity is a robust unique predictor of these outcomes. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it